Paved is a leading platform for managing digital advertising and content partnerships.
Transform your advertising workflows with AI agents that can optimize campaigns, engage publishers, and deliver real-time insights.
Paved streamlines digital advertising and content partnerships through its comprehensive platform. Relevance AI enhances this with intelligent AI agents that can automate campaign optimization, publisher engagement, and performance analysis.
Dynamic Campaign Orchestration
The agent continuously optimizes campaigns in real-time for maximum effectiveness.
Intelligent Performance Insights
The agent delivers actionable insights based on real-time data analysis.
Proactive ROI Measurement
The agent tracks and analyzes ROI metrics to inform strategic decisions.
Relevance AI gives you access to a wide variety of Paved tools within your automated workflows and AI agents.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Paved account
- A Relevance AI account with access to your data
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Paved data. Relevance AI handles API operations (like GET, POST, PUT, DELETE) in the background—so you don't have to worry about authentication tokens, request formatting, or rate limits.
Built-in validation and error handling ensure your API calls run smoothly, with automatic response parsing and data transformation.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the Paved + Relevance AI integration without writing code:
- Authenticate properly: Ensure your Paved API credentials are correctly configured and permissions are set.
- Structure API requests: Use clear endpoint paths and maintain consistent request formats.
- Handle responses: Always validate response data before processing in Relevance AI workflows.
- Monitor rate limits: Space out API calls appropriately to avoid hitting Paved's usage limits.
- Test thoroughly: Verify API responses in a test environment before implementing in production.
